LAMMPS (13 Oct 2016)
# sample LAMMPS input script for viscosity of 2d LJ liquid
# Green-Kubo method via fix ave/correlate

# settings

variable	x equal 20
variable	y equal 20

variable	rho equal 0.6
variable        t equal 1.0
variable	rc equal 2.5

variable    p equal 400     # correlation length
variable    s equal 5       # sample interval
variable    d equal $p*$s   # dump interval
variable    d equal 400*$s   
variable    d equal 400*5   

# problem setup

units		lj
dimension	2
atom_style	atomic
neigh_modify	delay 0 every 1

lattice         sq2 ${rho}
lattice         sq2 0.6
Lattice spacing in x,y,z = 1.82574 1.82574 1.82574
region          simbox block 0 $x 0 $y -0.1 0.1
region          simbox block 0 20 0 $y -0.1 0.1
region          simbox block 0 20 0 20 -0.1 0.1
create_box      1 simbox
Created orthogonal box = (0 0 -0.182574) to (36.5148 36.5148 0.182574)
  1 by 1 by 1 MPI processor grid
create_atoms    1 box
Created 800 atoms

pair_style      lj/cut ${rc}
pair_style      lj/cut 2.5
pair_coeff      * * 1 1

mass            * 1.0
velocity        all create $t 97287
velocity        all create 1 97287

# equilibration run

fix             1 all nve
fix	        2 all langevin $t $t 0.1 498094
fix	        2 all langevin 1 $t 0.1 498094
fix	        2 all langevin 1 1 0.1 498094
fix	        3 all enforce2d

thermo          $d
thermo          2000
run	        10000
Neighbor list info ...
  1 neighbor list requests
  update every 1 steps, delay 0 steps, check yes
  max neighbors/atom: 2000, page size: 100000
  master list distance cutoff = 2.8
  ghost atom cutoff = 2.8
  binsize = 1.4 -> bins = 27 27 1
Memory usage per processor = 2.47956 Mbytes
Step Temp E_pair E_mol TotEng Press 
       0            1     -1.56492            0     -0.56617    -1.535262 
    2000    1.0164992   -1.6006146            0  -0.58538603   0.88642098 
    4000    1.0955206   -1.6156387            0  -0.52148756   0.94410568 
    6000    1.0384014   -1.6029223            0   -0.5658189   0.82862123 
    8000    1.0035814   -1.5749989            0  -0.57267191    1.1514978 
   10000    1.0149864   -1.5834783            0  -0.56976064   0.94535991 
Loop time of 1.68923 on 1 procs for 10000 steps with 800 atoms

Performance: 2557381.154 tau/day, 5919.864 timesteps/s
99.9% CPU use with 1 MPI tasks x no OpenMP threads

MPI task timing breakdown:
Section |  min time  |  avg time  |  max time  |%varavg| %total
---------------------------------------------------------------
Pair    | 0.93939    | 0.93939    | 0.93939    |   0.0 | 55.61
Neigh   | 0.22535    | 0.22535    | 0.22535    |   0.0 | 13.34
Comm    | 0.028255   | 0.028255   | 0.028255   |   0.0 |  1.67
Output  | 4.6253e-05 | 4.6253e-05 | 4.6253e-05 |   0.0 |  0.00
Modify  | 0.44989    | 0.44989    | 0.44989    |   0.0 | 26.63
Other   |            | 0.0463     |            |       |  2.74

Nlocal:    800 ave 800 max 800 min
Histogram: 1 0 0 0 0 0 0 0 0 0
Nghost:    262 ave 262 max 262 min
Histogram: 1 0 0 0 0 0 0 0 0 0
Neighs:    5587 ave 5587 max 5587 min
Histogram: 1 0 0 0 0 0 0 0 0 0

Total # of neighbors = 5587
Ave neighs/atom = 6.98375
Neighbor list builds = 1101
Dangerous builds = 0

velocity	all scale $t
velocity	all scale 1

unfix		2

# Green-Kubo viscosity calculation

reset_timestep  0

# Define distinct components of symmetric traceless stress tensor

variable         pxy equal pxy
variable         pxx equal pxx-press

fix              SS all ave/correlate $s $p $d                  v_pxy v_pxx type auto file profile.gk.2d ave running
fix              SS all ave/correlate 5 $p $d                  v_pxy v_pxx type auto file profile.gk.2d ave running
fix              SS all ave/correlate 5 400 $d                  v_pxy v_pxx type auto file profile.gk.2d ave running
fix              SS all ave/correlate 5 400 2000                  v_pxy v_pxx type auto file profile.gk.2d ave running

# Diagonal components of SS are larger by factor 2-2/d,
# which is 4/3 for d=3, but 1 for d=2.
# See Daivis and Evans, J.Chem.Phys, 100, 541-547 (1994)

variable         scale equal 1.0/$t*vol*$s*dt
variable         scale equal 1.0/1*vol*$s*dt
variable         scale equal 1.0/1*vol*5*dt
variable         diagfac equal 2-2/2
variable         vxy equal trap(f_SS[3])*${scale}
variable         vxy equal trap(f_SS[3])*33.3333333333333
variable         vxx equal trap(f_SS[4])*${scale}/${diagfac}
variable         vxx equal trap(f_SS[4])*33.3333333333333/${diagfac}
variable         vxx equal trap(f_SS[4])*33.3333333333333/1

thermo_style     custom step temp press pxy v_vxy v_vxx

run              500000
Memory usage per processor = 2.47956 Mbytes
Step Temp Press Pxy v_vxy v_vxx 
       0            1   0.93637929  0.013123478 0.0028704278 3.6139711e-05 
    2000   0.99103273   0.96182762  0.032871709    1.0973353    1.7302859 
    4000    1.0416298    0.9238985   0.02532039  -0.51174928    1.3585307 
    6000    1.0033402     1.049074  0.056300627  -0.52973835    2.1985256 
    8000    1.0003681    1.1886635  0.019361031   -0.2525203    1.5354203 
   10000    1.0195921    0.9009639 -0.075997173   0.77178738    1.9426534 
   12000    1.0026283   0.90425907  -0.10655349   0.59485093    1.4709129 
   14000    1.0062891     1.120094  0.078261625    1.3430022    1.4154697 
   16000   0.97921785     1.056538  -0.27861922    1.1095264    1.2162698 
   18000     1.012419    1.0278053  0.022229371    1.7339307    1.1123441 
   20000    1.0117709   0.97722275 0.0075466982    1.7749122    1.0704588 
   22000    1.0008808    1.0572608  0.087832931    1.6516858    1.0614696 
   24000    1.0002975    1.0118667 -0.068081725    1.4708723    1.0635481 
   26000   0.98509665    1.1898824   0.21810836    1.5759129     1.101463 
   28000    0.9891689    1.1456688   0.12141752    1.7952721    1.1441876 
   30000    1.0071582   0.96554132  0.017641823    1.5696844     1.207463 
   32000    1.0076807    1.1047186  0.044265263    1.6946819    1.0605558 
   34000   0.95874174     1.362955  -0.14025695    1.7962468    1.0166685 
   36000   0.99528173    1.0970028 -0.016714523    1.6378502    1.0580616 
   38000    1.0124371   0.99493986 -0.041410673    1.5728087    1.0689583 
   40000    1.0141237   0.98549019  0.047454345    1.5733219    1.0153622 
   42000    1.0274867   0.93801507  0.089635945    1.5765417   0.99165386 
   44000   0.98700259   0.94306661 -0.045695708    1.7023399   0.99608779 
   46000    1.0080948    1.0304791 -0.0046135743     1.738355   0.87443113 
   48000   0.97227783    1.1829894  0.042219544    1.6953772   0.82755164 
   50000   0.99046716    1.0095618  0.018697031    1.6358006   0.79907178 
   52000    1.0129697   0.88794241 -0.045990748    1.6257284    0.8693729 
   54000    1.0013276    1.0246693  0.012464296     1.711089   0.85652021 
   56000    1.0385716   0.75426191  -0.04775685    1.6576515   0.80114077 
   58000    1.0107757    1.0239619  0.029529278      1.62731      1.01175 
   60000    1.0177033   0.94723439  -0.16871762    1.6492387    1.3267438 
   62000    1.0210737    1.0225179  0.079638703    1.5703895    1.3460163 
   64000    1.0106132    1.0188777   0.02699431    1.5335146    1.3032641 
   66000   0.98531307    1.1224354 -0.0069578014    1.6159073    1.2791611 
   68000   0.99450728    1.3016366  0.056607824     1.560555    1.2757996 
   70000   0.98874589    1.0724556 -0.022405835    1.5275425    1.2439185 
   72000    1.0108814   0.92375729  -0.12669224    1.5118684    1.2223259 
   74000    1.0098348    1.0635024  -0.12956833    1.4818607    1.2161456 
   76000    1.0089021   0.98626851  -0.20311631    1.4768989    1.2153601 
   78000     1.002405     1.008097 -0.089615503    1.4499417    1.1460696 
   80000    1.0266582    1.0493411   0.16631226    1.4254227    1.1765198 
   82000      1.01242   0.81710829   0.18713063    1.3872432    1.1213607 
   84000    1.0262474    1.1125949 -0.0012088503     1.464111    1.1215723 
   86000   0.99599827    1.0337621 -0.0056500173    1.4658272    1.1000357 
   88000   0.98713531    1.0665747  -0.10237303    1.5900602    1.0774497 
   90000    1.0156011   0.96906164   0.13894564    1.5880395    1.1005107 
   92000    1.0306883   0.78929887 0.0089544803    1.5445295    1.1172449 
   94000   0.98455669    1.1917323  0.025629181    1.4984833    1.1347838 
   96000   0.99528576    1.1055136  0.020277014    1.4904339    1.0982899 
   98000    1.0504589   0.99135546 -0.051989636     1.455444    1.0661495 
  100000   0.98210335    1.0867432  0.091525725    1.4218731    1.0813261 
  102000    1.0316494    1.1350259  0.072311903    1.3978862    1.0946066 
  104000    1.0292338   0.83829357  -0.04098328    1.3809297    1.1853511 
  106000   0.98153521    1.0653974 -4.3227008e-05    1.3544205    1.2098378 
  108000    1.0074159    1.0048635    0.1947269    1.3858614    1.2974418 
  110000    1.0007684    1.1603181   0.13820163    1.3549744    1.3665589 
  112000   0.98637814    1.0037644  0.049907343    1.3424521    1.3434275 
  114000   0.99310586    1.0896413 -0.079352378    1.3189065    1.3424599 
  116000   0.98829858   0.87861443   0.05118496    1.3323643    1.2973572 
  118000      1.01049   0.96002545  -0.12320659    1.3042553    1.3143529 
  120000    1.0218378   0.89637436   0.02750584    1.2880273    1.4129925 
  122000    1.0263547   0.95854694 0.0034110405    1.2998558    1.4125761 
  124000    0.9899202    1.0492908  -0.13855042    1.2885462    1.4024599 
  126000   0.98192121    1.1372352   0.16313842    1.2742073    1.3858109 
  128000     1.002862   0.97650147  0.048928455    1.3089319    1.4032307 
  130000   0.99785761   0.93146735  0.026478401    1.2798809    1.4133812 
  132000   0.98956541   0.96523389  -0.10052306    1.2753991    1.4194387 
  134000    1.0019397    1.0447894   0.13871691    1.2573725    1.4193379 
  136000    1.0321449    1.1072168  -0.15369414    1.2214357    1.4798406 
  138000    1.0239483   0.82920716 -0.011872404    1.1990447    1.4537855 
  140000    1.0082907    1.0012771  0.027192581    1.2017711     1.488733 
  142000    1.0007865    1.0399048 -0.096251148    1.2255281    1.4836706 
  144000    1.0001664    1.0071962 -0.083449668     1.188732    1.4747949 
  146000    1.0202238    1.0702284 -0.063595518    1.1747017     1.457276 
  148000    1.0248683    1.0227875  0.069198975    1.1641817    1.4482984 
  150000    1.0127614   0.80897516 0.0044443031    1.1486331    1.4389959 
  152000    1.0028044    1.0857002 -0.059930891    1.1448366    1.4107488 
  154000    1.0149836   0.82631625  0.085962962    1.1469054    1.3899228 
  156000   0.99818966     1.035248 -0.029178797    1.1381571     1.380388 
  158000    1.0023756   0.94465038 -0.056571392    1.1308549    1.3564606 
  160000   0.99847665    1.0656894 -0.022026678    1.1397154    1.4343558 
  162000   0.98084763    1.2446958  0.097934009    1.1180528    1.3973883 
  164000   0.98358665    1.1626742 -0.010830507    1.1042107    1.3740411 
  166000    1.0176133   0.91335665  0.054966014    1.1205556    1.3965323 
  168000    1.0252828    1.0562376  0.025372153    1.1392262    1.4162518 
  170000    1.0429701   0.78042973 -0.088860018    1.1624209    1.4180095 
  172000    1.0167826   0.93307169 -0.0028786839    1.1482597    1.4102599 
  174000    1.0067129   0.93660255   0.13405338    1.1765833    1.3906822 
  176000    1.0142368    1.1376546 -0.039887725    1.1490071    1.3803357 
  178000    1.0337679   0.88782002 -0.013087286    1.1537575    1.4217567 
  180000   0.96700375    1.2700192  -0.17359042    1.1782075    1.4515137 
  182000    1.0128669    1.0325786  -0.11340517    1.1601019    1.4525292 
  184000    1.0016786    1.2423822  -0.04019647    1.1535732    1.4506038 
  186000    1.0068219   0.91016442   0.12827957     1.140122    1.4814336 
  188000    1.0111052   0.84190116   0.11675343    1.1385292    1.4872393 
  190000    1.0428535   0.84579508  0.074521906     1.126706    1.5039655 
  192000   0.98196941    1.1089098   0.10878744    1.1159363    1.4826447 
  194000    1.0060461    1.0637631 0.0094883212    1.1126571    1.4825394 
  196000     1.009729    1.0375371  0.001016821     1.104084    1.4675566 
  198000    1.0130466   0.94423285 -0.065299989    1.0985735    1.4613693 
  200000   0.99556457    1.0479236 -0.078093695     1.087735    1.4629234 
  202000    1.0024053    1.0110919 -0.011771169    1.0789047    1.4423084 
  204000    1.0487373   0.96913936  0.092389554    1.0752111    1.4428081 
  206000    1.0040089   0.87055365 -0.0029267837    1.0892902    1.4295861 
  208000   0.98635833    1.1193994  0.043854107    1.0935635    1.4288422 
  210000   0.99172336    1.0945983 -0.047827928    1.0845738    1.4610522 
  212000   0.99572889    1.1375524  -0.19281467    1.0820934    1.4492165 
  214000    1.0146878   0.93324057  0.023347328    1.0666754    1.4359126 
  216000   0.99707471   0.96782693  0.083402848    1.0567355    1.4261272 
  218000    1.0072021    0.8155869 -0.094678429    1.0397772    1.4363021 
  220000   0.99829642    1.0862336 -0.057344135    1.0264114    1.4261186 
  222000    1.0214364    1.0020523 -0.081278441    1.0259496    1.4104525 
  224000    1.0007703    1.1398771 -0.014848249    1.0383859    1.4298639 
  226000    1.0160887   0.97725713 -0.061995296    1.0437407    1.4241759 
  228000    1.0094934     1.040651 0.0079530479    1.0393089    1.4155728 
  230000   0.98902579     1.050377  -0.02091325    1.0338013    1.4183238 
  232000   0.98365162    1.1795485  0.007265917     1.023983      1.42409 
  234000   0.98804235   0.99142023  -0.14096873    1.0094423    1.4122007 
  236000    1.0111715    1.0365441   0.03705863    0.9986353    1.3994269 
  238000     1.028486   0.77859138   0.03686834   0.99615802    1.4123065 
  240000    1.0048364    1.0507628     0.177815   0.98769158    1.4053338 
  242000    1.0612408   0.80528323 -0.065846556   0.96795821    1.3983254 
  244000   0.99451698   0.90507771 0.0090582429   0.95858362    1.3911554 
  246000    1.0215777   0.88605366 -0.033084099   0.94891089    1.3837671 
  248000    1.0346251    1.0266325  0.042180226   0.94589414    1.3805736 
  250000   0.97725995   0.99997539  0.046921107    0.9413025    1.4054541 
  252000    1.0045133    1.2089315  -0.20100537   0.93463731    1.3855538 
  254000    1.0396556    0.8806146   0.16822159   0.92217148    1.3836271 
  256000   0.99769832    1.0692142   0.03603972   0.90825537      1.37561 
  258000   0.97543457    1.0623702  0.076387425   0.89703273    1.3792596 
  260000   0.99005919    1.0412698  -0.19142244    0.8920687    1.3587022 
  262000    1.0014908    1.0353971   0.10763251   0.88126218     1.346977 
  264000    1.0392437    1.0236348  -0.19905313   0.87431966    1.3383363 
  266000    1.0110595     0.943378 -0.055766989   0.86561643    1.3383356 
  268000    1.0155932   0.84263415 -0.046929409   0.87912277    1.3349971 
  270000     1.060652   0.75643153  -0.10294749   0.87236853    1.3457342 
  272000    1.0069743   0.97553062  0.029040039   0.84867311    1.3119881 
  274000    1.0463214   0.67594148 -0.0069642173   0.83557725    1.3142664 
  276000    1.0042636   0.98929276  -0.12449786     0.834825    1.3009674 
  278000   0.97917004    1.1268906 -0.078323442   0.84264211     1.302196 
  280000    1.0082531    1.0527782 -0.036059017   0.83666146    1.3290452 
  282000    1.0154843   0.92086705 -0.068530775   0.83838607    1.3283441 
  284000    1.0098619     1.036216  0.037750753   0.83579051    1.3263873 
  286000    1.0066095   0.98446812   0.02654871   0.82548297    1.3204648 
  288000    1.0108484    0.9938665 0.0014634473    0.8212407    1.3432121 
  290000    1.0084713   0.97267996  -0.16071115   0.81647241    1.3116145 
  292000    1.0056589   0.84166635   0.11872697   0.80604569    1.2982472 
  294000    1.0209933    0.9891441  -0.08837825    0.7987701    1.2971225 
  296000   0.99782768    1.0931691   0.03252435    0.7933436    1.3227693 
  298000   0.97158829    1.0587163 -0.020509263   0.78826707    1.3403092 
  300000   0.99635509    1.0508706  -0.13999572   0.80661653    1.3636672 
  302000    1.0244367   0.98051456  0.078987418   0.79690906    1.3579957 
  304000    1.0164691   0.92957417 -0.052090111   0.78111523    1.3494573 
  306000   0.99640652    1.0046382  -0.17696034   0.78527471    1.3388528 
  308000   0.99001053    1.0661668 -0.040494857   0.78802705    1.3391576 
  310000    1.0176688   0.88160706  -0.16255132   0.77827469     1.328968 
  312000    1.0030797    1.1056347    0.2012843   0.77588955    1.3216876 
  314000    1.0135412   0.89411346   0.14573277   0.76605153    1.3369024 
  316000    1.0289246   0.95183363  -0.13790235   0.76142201    1.3264365 
  318000    1.0272076    1.0546778  -0.15570037    0.7550118     1.319986 
  320000    1.0233555   0.69600824 -0.051301259   0.75973858     1.316099 
  322000    1.0276771     1.006656 -0.037166444   0.77429945    1.3244899 
  324000    1.0009085    1.1030988 -0.045003287   0.77270822    1.3241261 
  326000   0.99820481   0.96157265 0.0051561382   0.77066804     1.313479 
  328000    1.0034746    0.9828709   0.04098644   0.77299241    1.3168281 
  330000    0.9855772    1.2748992     0.216881   0.76442667    1.3495639 
  332000    0.9965209    1.1130749  0.090747874   0.75969604    1.3482028 
  334000     1.035755   0.88167554   0.02819393   0.75757808    1.3424486 
  336000   0.99996774    1.0190301  0.063460214   0.75227901    1.3506673 
  338000   0.99767487    1.0766267   0.17431208   0.84059427    1.3246922 
  340000    1.0253142   0.95542815 -0.057965391   0.83723497    1.3293585 
  342000    1.0068098   0.97259996   0.10715327   0.83750839     1.326108 
  344000   0.99340991    1.0870946 -0.068506912   0.82881344    1.3279886 
  346000    1.0120696    1.0131809 -0.053688663   0.83810272    1.3174796 
  348000    1.0309753   0.89960386 -0.060363095   0.82821889    1.3105855 
  350000    1.0037776    1.0091603   0.02135905   0.82421593    1.3062743 
  352000   0.98591728    1.1377659 -0.083236455   0.82154361    1.3039211 
  354000    1.0080397   0.80849869   0.00928565    0.8133737    1.2966239 
  356000    1.0580451   0.75557573 -0.072592855   0.80584322    1.2906508 
  358000     1.030585    1.0380857 -0.080811662    0.8014706    1.2924957 
  360000    1.0095237     1.054976  -0.16712924   0.80086617    1.2972352 
  362000    1.0310879   0.84077595  0.080477352   0.79545805    1.2769439 
  364000    1.0000238    1.1775906 0.0031139552   0.79173356    1.2839778 
  366000    1.0190616   0.92848622 -0.046387272   0.79173254    1.3032921 
  368000    1.0089574   0.88967276  0.084507509   0.81055496    1.3028473 
  370000   0.98626285    1.0389475   0.15747394   0.81689831    1.2919537 
  372000    1.0179928   0.95338149 -0.079240909   0.80533945    1.2877439 
  374000    1.0036723   0.91169472  0.038159086   0.80466471    1.2811106 
  376000    1.0059869   0.90711389 -0.093438168   0.80486392      1.27755 
  378000    1.0376167   0.96969013  -0.11849733   0.79690186    1.2849264 
  380000   0.98982394    1.1608252 -0.038393364   0.79074513    1.2787152 
  382000   0.97137184   0.96619112 -0.034678175   0.79040338    1.2750988 
  384000   0.99272978    1.0509393  0.032343038   0.78854414    1.2713176 
  386000    1.0100648   0.96303847   -0.0497874   0.78404981    1.2846324 
  388000   0.99635597     1.016829  -0.04531565    0.7787559     1.306903 
  390000    1.0128857    1.0168535  0.030123764   0.77822522    1.2950826 
  392000    1.0414799   0.91612676  0.052204166   0.80240996    1.2882927 
  394000   0.98112978    1.0438272 -0.068667673   0.79384032    1.2811558 
  396000   0.97787678    1.0131718 -0.033109536   0.79605418    1.2692971 
  398000    1.0292431   0.90622851 -0.082576483   0.79540751    1.2680355 
  400000    1.0026087    1.0275497  0.087158222   0.79029414    1.2644206 
  402000    1.0163706   0.96588365 -0.029125811   0.78663679    1.2595275 
  404000    1.0262493   0.79007094 0.0079598958   0.78812507    1.2575526 
  406000   0.99487107   0.83977277  0.066596384   0.78322554    1.2506377 
  408000    1.0108518    1.1412871  0.041085191   0.78509472    1.2623544 
  410000    1.0026966    1.1125145  0.021404009   0.78266826    1.2703102 
  412000    1.0027426    1.1445941   0.10077025   0.77085701    1.2849866 
  414000    1.0525169    0.6688189 -0.071885452   0.77565161    1.2911903 
  416000   0.95514842    1.2198976 -0.020098364   0.76998705    1.2873301 
  418000   0.99853286     1.040174 -0.043752958   0.78683106    1.2936501 
  420000   0.96432983    1.2000605    0.0284884   0.78718481     1.312678 
  422000    1.0110338   0.88925615 -0.0056255993   0.79178119    1.3132659 
  424000    1.0077925    1.0625448  0.078586775   0.77982291    1.3031021 
  426000   0.98743189    1.0888581   0.12563331   0.77548305    1.2938035 
  428000    1.0112301   0.91688673   -0.1605337   0.76902093    1.2909986 
  430000    1.0283254   0.83233694  0.047589962   0.76791923    1.2841707 
  432000   0.97982409    1.1875522 -0.060520907    0.7726128    1.2775717 
  434000    0.9830003    1.2882445  0.026552191   0.77474589    1.2727174 
  436000   0.98158695    1.2184202   0.10011832   0.76992849    1.2604393 
  438000    1.0174602   0.98983657  -0.26731543   0.77292394    1.2570614 
  440000    1.0147922   0.99723521   0.10312258   0.77211658    1.2600691 
  442000    1.0185438   0.95378608  0.032898335   0.79194152    1.2533085 
  444000   0.97737381    1.2100163  0.022311362   0.78333762    1.2556328 
  446000   0.99593648    1.0999746 -0.041825149   0.80441311    1.2459874 
  448000    1.0259234   0.90080955 -0.057452702   0.80038521    1.2398877 
  450000   0.98873973    1.0019177  -0.14057947   0.79374658    1.2334462 
  452000    1.0059102    1.0666545  0.014242262   0.78886902    1.2270249 
  454000   0.99943215    1.1353551  0.070613563   0.78877577    1.2211064 
  456000   0.99123683    1.1310395 -0.019958521    0.8212975    1.2153723 
  458000   0.98476743    1.0628314 -0.024302081   0.84754857    1.2111254 
  460000    1.0139076    1.0181222  0.089182002    0.8711683    1.2012356 
  462000    1.0113822    1.1739975  -0.10175863   0.87381822    1.2134671 
  464000    1.0228404    1.0517714 -0.031783966   0.87936192    1.2110218 
  466000    1.0126934   0.96656763 -0.015021156   0.87512117     1.205325 
  468000    1.0070377    1.0378727 -0.0077122994   0.87144073     1.210374 
  470000   0.99238797    1.0832266 -0.041876018   0.87158524    1.2128182 
  472000    1.0169724   0.90761167  -0.12563948   0.87563801    1.2031687 
  474000    1.0025279    1.0050948  0.043906331   0.88508792    1.2034718 
  476000   0.99536702   0.89444096   0.14592241   0.88559122    1.2006404 
  478000   0.98866565    1.1754384  0.048623957   0.88245402    1.2048067 
  480000   0.98572668   0.90601784  -0.26268845    0.8766798    1.1959848 
  482000     1.014423   0.98209159  0.069121411   0.87638162    1.1900047 
  484000    1.0090002    0.9957509  -0.09367221   0.91979312    1.2095237 
  486000   0.99962993    1.0977267  -0.15748171   0.91796166    1.1883856 
  488000   0.98394002    1.0400853 -0.054203925   0.90840814    1.2065249 
  490000    1.0216626   0.95663779 -0.076119485   0.89955072     1.213275 
  492000   0.98450357    1.2970783   -0.1684919    0.9028997    1.2128895 
  494000     1.022591   0.82845032  -0.10149084   0.90006981    1.2103346 
  496000    1.0317595   0.79413446   0.12970065   0.91240504    1.2079784 
  498000    1.0375923    1.0063299 0.0090318777   0.91283445     1.209838 
  500000     1.009533   0.92939388  0.051496977   0.92195746    1.2070306 
Loop time of 70.8372 on 1 procs for 500000 steps with 800 atoms

Performance: 3049246.649 tau/day, 7058.441 timesteps/s
99.9% CPU use with 1 MPI tasks x no OpenMP threads

MPI task timing breakdown:
Section |  min time  |  avg time  |  max time  |%varavg| %total
---------------------------------------------------------------
Pair    | 47.562     | 47.562     | 47.562     |   0.0 | 67.14
Neigh   | 12.145     | 12.145     | 12.145     |   0.0 | 17.14
Comm    | 1.5125     | 1.5125     | 1.5125     |   0.0 |  2.14
Output  | 0.004076   | 0.004076   | 0.004076   |   0.0 |  0.01
Modify  | 7.2584     | 7.2584     | 7.2584     |   0.0 | 10.25
Other   |            | 2.355      |            |       |  3.32

Nlocal:    800 ave 800 max 800 min
Histogram: 1 0 0 0 0 0 0 0 0 0
Nghost:    271 ave 271 max 271 min
Histogram: 1 0 0 0 0 0 0 0 0 0
Neighs:    5622 ave 5622 max 5622 min
Histogram: 1 0 0 0 0 0 0 0 0 0

Total # of neighbors = 5622
Ave neighs/atom = 7.0275
Neighbor list builds = 59121
Dangerous builds = 0

variable         etaxy equal v_vxy
variable         etaxx equal v_vxx
variable         eta equal 0.5*(${etaxy}+${etaxx})
variable         eta equal 0.5*(0.921957460954984+${etaxx})
variable         eta equal 0.5*(0.921957460954984+1.20703060474415)
print            "running average viscosity: ${eta}"
running average viscosity: 1.06449403284957
Total wall time: 0:01:12
